What is the method for finding motion in a central potential field?

In summary, the problem is to find the motion of a body in a central potential field with a given potential function. The solution involves using the conservation of energy and angular momentum, resulting in an integral of the form \phi = \int{\frac{dr}{\sqrt{Ar^{3}-Br^{2}+C}}}. To simplify this, one can use the second order Lagrange equation and the relationship \dot{r} = \dot{\phi}r'(\phi) to eliminate time derivatives and obtain a differential equation for the trajectory.
  • #1
neworder1
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Homework Statement



The problem is to find the motion of a body in a central potential field with potential given by:

[tex]V(r)=-\frac{\alpha}{r}+\frac{\beta}{r^{2}}[/tex]

where [tex]\alpha[/tex] and [tex]\beta[/tex] are positive constants.

Homework Equations





The Attempt at a Solution



I used the fact that energy and angular momentum are conserved in this field, and after separating variables in the equation for [tex]\dot{\vec{r}}[/tex] I got an integral of the form: ([tex]\phi[/tex] is the angle)

[tex]\phi = \int{\frac{dr}{\sqrt{Ar^{3}-Br^{2}+C}}}[/tex]

where A, B, C are constants dependent on mass, energy and angular momentum of the body.

Is there a simpler method to find the motion [tex]r(\phi)[/tex], without having to calculate such awful integrals? And if not, how to calculate it?
 
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  • #2
Yes, I think there is. Note that you have two differential equations: one first order and one second order (the Lagrange equation). Hint: use the second order. But since you are interested in the shape, you need to change from time derivatives to derivatives wrt [itex]\phi[/itex]. Question: what is the relationship between [itex]\dot{r}[/itex] and [itex]r'(\phi)[/itex]? Answering this question will lead you to a differential equation for your trajectory.
 
  • #3
Could you be more specific? I don't see how we can get beyond what I've written above using the second order equation.
 
  • #4
You need to use the fact that [itex]\dot{r} = \dot{\phi}r'(\phi)[/itex]. Use this to eliminate all derivatives wrt time in your Lagrange equation. But before you do, what is [itex]\dot{\phi}[/itex]?
 

What is a potential central field?

A potential central field is a type of force field that depends only on the distance from a fixed point, known as the center. It is described by a scalar function known as the potential, which determines the magnitude and direction of the force acting on an object in the field.

How is a potential central field different from other types of force fields?

Unlike other force fields, a potential central field does not depend on the direction of the object's motion or its orientation. It only depends on the distance from the center, making it a spherically symmetric field. This type of field is commonly seen in systems with spherical symmetry, such as the gravitational field of a planet or the electric field of a charged sphere.

What are some examples of potential central fields in nature?

The most well-known example of a potential central field is the gravitational field of a planet. Other examples include the electrostatic field of a charged sphere, the magnetic field of a bar magnet, and the nuclear force between protons and neutrons in an atomic nucleus.

How is a potential central field calculated?

The potential central field is calculated by taking the negative gradient of the potential function with respect to the distance from the center. This gives the magnitude and direction of the force at any point in the field. The potential function itself can be determined by solving the appropriate field equation for the given system.

What are some applications of potential central fields in science and engineering?

Potential central fields have many applications in science and engineering, such as in celestial mechanics for predicting the motion of planets and satellites, in electromagnetic systems for designing antennas and circuits, and in nuclear physics for understanding the structure of atomic nuclei. They are also used in computer simulations to model the behavior of complex systems.

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